Training data for effect of preventive actions

The provided Matlab file contains simulation data for the effect of preventive actions during extreme events in the German transmission network (489 buses, 852 lines). The data can be used for training and testing of machine learning classifiers identifying the optimum preventive action given a set of event parameters. The data contains 2000 events, and for each event and preventive action the results of 100 randomly created event outcomes. Cascading failures were simulated using AC-CFM (https://github.com/mnoebels/AC-CFM).<br>The following preventive actions are considered:1 - no preventive action2 - isolating a vulnerable area3 - islanding into 5 islands4 - islanding into 10 islands<br><br>The file contains the following variables:<br>- network is a struct describing the network and can be used as a network case struct for Matpower. network has an additional field "coordinates", which contains the geographic coordinates of each bus.<br>- scenario_details is a table describing the event properties, such as location, radius, intensity and network load. It also contains the load supplied after pre-event load reduction for the preventive actions.<br>- faulty_lines is a 2000x100x852 matrix describing the lines damaged by each event and for each event outcome. The matrix contains a "1" if the respective line has been damaged, and "0" if not.<br>- load_after_cascade is a 2000x100x4 matrix describing the load supplied after the event for each event, event outcome and preventive action.

本数据集配套的Matlab文件包含德国输电网络（含489个母线、852条线路）极端事件期间预防性措施效果的仿真数据。该数据集可用于训练与测试机器学习分类器，以在给定一组事件参数的前提下识别最优预防性措施。本数据集共包含2000个极端事件，且针对每个事件与每种预防性措施，均附带100次随机生成的事件结果数据。级联故障仿真采用AC-CFM（https://github.com/mnoebels/AC-CFM）完成。

本次仿真考虑的预防性措施如下：
1. 无预防性措施
2. 隔离脆弱区域
3. 电网孤岛化为5个子网
4. 电网孤岛化为10个子网

该文件包含以下变量：
- network：为描述电网的结构体，可直接作为Matpower的电网算例结构体使用。该结构体额外包含字段"coordinates"，用于存储各母线的地理坐标。
- scenario_details：为描述事件属性的表格，涵盖事件发生位置、波及范围、强度以及电网负载等信息，同时包含各预防性措施实施前负荷削减后的供电量数据。
- faulty_lines：为2000×100×852的三维矩阵，用于描述各事件及对应事件结果中受损的线路。当对应线路受损时矩阵元素为1，未受损时为0。
- load_after_cascade：为2000×100×4的三维矩阵，用于描述各事件、各事件结果以及各预防性措施实施后的事件后供电负载量。